I am a mathematical engineer with a background in computational modelling,
statistical learning and scientific computing. My recent academic work focused on
data-driven surrogate modelling for street-scale NOx concentration prediction,
combining simulation-derived data, meteorological variables and statistical methods.
I completed my MSc in Mathematical Engineering at Politecnico di Torino, with a
research internship at École Centrale de Lyon. My interests include urban air
quality modelling, environmental data analysis, surrogate modelling, optimization,
computational physics and reproducible research workflows.
Scientific research
Street-scale NOx concentration prediction using surrogate models
2025
MSc thesis · Politecnico di Torino / École Centrale de Lyon
This project investigated data-driven approaches for predicting street-scale
passive scalar concentrations using simulation-derived inputs from the SIRANE
model. The work focused on dataset construction, feature engineering and the
comparison of statistical and machine-learning models for concentration
prediction at local urban scale.
Urban air quality modelling and environmental simulation
2025
Research internship · École Centrale de Lyon
Research activity focused on urban air pollution modelling, with attention to
meteorological forcing, street geometry, emission scenarios and local-scale
concentration fields. The work connected simulation outputs with statistical
analysis and data-driven modelling strategies.
Data-driven modelling workflows for environmental systems
2024–2025
Academic and thesis-related work
Development of computational workflows for transforming high-dimensional
simulation outputs into structured datasets suitable for regression, validation
and model comparison. The work involved data preprocessing, feature selection,
error analysis and interpretation of predictive performance.
Self-hosted infrastructure and secure service deployment
2026
Personal infrastructure project
Design and maintenance of a Raspberry Pi-based homelab using Docker, Caddy,
Cloudflare, VPN-based private access, service isolation and automated backups.
The project explores reverse proxying, public/private service separation,
federated services and lightweight infrastructure management.
Bitcoin and Lightning self-hosted node environment
2024–2026
Personal technical project
Deployment and maintenance of a self-hosted Bitcoin and Lightning environment,
with attention to node operation, service exposure, private access patterns and
system-level administration.
Bitcoin · Lightning Network · Linux · networking · system administration
Selected documents
Selected thesis material, technical reports and project documents will be added
here after review for public sharing.